Cellular traffic prediction with machine learning: A survey

W Jiang - Expert Systems with Applications, 2022 - Elsevier
Cellular networks are important for the success of modern communication systems, which
support billions of mobile users and devices. Powered by artificial intelligence techniques …

[HTML][HTML] A survey on Zero touch network and Service Management (ZSM) for 5G and beyond networks

M Liyanage, QV Pham, K Dev, S Bhattacharya… - Journal of Network and …, 2022 - Elsevier
Faced with the rapid increase in smart Internet-of-Things (IoT) devices and the high demand
for new business-oriented services in the fifth-generation (5G) and beyond network, the …

Toward native explainable and robust AI in 6G networks: Current state, challenges and road ahead

C Fiandrino, G Attanasio, M Fiore, J Widmer - Computer Communications, 2022 - Elsevier
Abstract 6G networks are expected to face the daunting task of providing support to a set of
extremely diverse services, each more demanding than those of previous generation …

Empowering the 6G Cellular Architecture with Open RAN

M Polese, M Dohler, F Dressler… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Innovation and standardization in 5G have brought advancements to every facet of the
cellular architecture. This ranges from the introduction of new frequency bands and …

Team learning-based resource allocation for open radio access network (O-RAN)

H Zhang, H Zhou… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
Recently, the concept of open radio access network (O-RAN) has been proposed, which
aims to adopt intelligence and openness in the next generation radio access networks …

Machine Learning for Service Migration: A Survey

N Toumi, M Bagaa, A Ksentini - IEEE Communications Surveys …, 2023 - ieeexplore.ieee.org
Future communication networks are envisioned to satisfy increasingly granular and dynamic
requirements to accommodate the application and user demands. Indeed, novel immersive …

[图书][B] 6G Frontiers: Towards Future Wireless Systems

C De Alwis, QV Pham, M Liyanage - 2022 - books.google.com
6G Frontiers Enables readers to understand the exciting new technologies, architectural
directions, technical aspects, and applications of 6G, plus legal and standardization …

Toward native artificial intelligence in 6G networks: System design, architectures, and paradigms

J Wu, R Li, X An, C Peng, Z Liu, J Crowcroft… - arXiv preprint arXiv …, 2021 - arxiv.org
The mobile communication system has transformed to be the fundamental infrastructure to
support digital demands from all industry sectors, and 6G is envisioned to go far beyond the …

Requirements and Specifications for the Orchestration of Network Intelligence in 6G

M Camelo, L Cominardi, M Gramaglia… - 2022 IEEE 19th …, 2022 - ieeexplore.ieee.org
Next-generation mobile networks are expected to flaunt highly (if not fully) automated
management. To achieve such a vision, Artificial Intelligence (AI) and Machine Learning …

AI-Driven Data Analytics and Intent-Based Networking for Orchestration and Control of B5G Consumer Electronics Services

K Abbas, A Nauman, M Bilal, JH Yoo… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Network slicing is a critical feature of the beyond fifth-generation (B5G) network that supports
a wide range of innovative services from 5.0 industries, next-generation consumer …